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Charlton, Patricia; Magoulas, George; Laurillard, Diana – Technology, Pedagogy and Education, 2012
The paper advocates an approach to learning design that considers it as creating digital artefacts that can be extended, modified and used for different purposes. This is realised through an "act becoming artefact" cycle, where users' actions in the authors' software environment, named Learning Designer, are automatically interpreted on…
Descriptors: Foreign Countries, Educational Technology, Instructional Design, Computer Software
Hwang, Gwo-Jen; Sung, Han-Yu; Hung, Chun-Ming; Huang, Iwen; Tsai, Chin-Chung – Educational Technology Research and Development, 2012
In recent years, many researchers have been engaged in the development of educational computer games; however, previous studies have indicated that, without supportive models that take individual students' learning needs or difficulties into consideration, students might only show temporary interest during the learning process, and their learning…
Descriptors: Cognitive Style, Learning Motivation, Program Effectiveness, Natural Sciences
Chi, Min; VanLehn, Kurt; Litman, Diane; Jordan, Pamela – International Journal of Artificial Intelligence in Education, 2011
Pedagogical strategies are policies for a tutor to decide the next action when there are multiple actions available. When the content is controlled to be the same across experimental conditions, there has been little evidence that tutorial decisions have an impact on students' learning. In this paper, we applied Reinforcement Learning (RL) to…
Descriptors: Classroom Communication, Interaction, Reinforcement, Natural Language Processing
Mullins, Dejana; Rummel, Nikol; Spada, Hans – International Journal of Computer-Supported Collaborative Learning, 2011
While some studies found positive effects of collaboration on student learning in mathematics, others found none or even negative effects. This study evaluates whether the varying impact of collaboration can be explained by differences in the type of knowledge that is promoted by the instruction. If the instructional material requires students to…
Descriptors: Video Technology, Feedback (Response), Computer Assisted Instruction, Learning Processes
Calvo, R. A.; O'Rourke, S. T.; Jones, J.; Yacef, K.; Reimann, P. – IEEE Transactions on Learning Technologies, 2011
Academic writing, individual or collaborative, is an essential skill for today's graduates. Unfortunately, managing writing activities and providing feedback to students is very labor intensive and academics often opt out of including such learning experiences in their teaching. We describe the architecture for a new collaborative writing support…
Descriptors: Architecture, Teaching Methods, Feedback (Response), Collaborative Writing
Reigeluth, Charles M.; Aslan, Sinem; Chen, Zengguan; Dutta, Pratima; Huh, Yeol; Lee, Dabae; Lin, Chun-Yi; Lu, Ya-Huei; Min, Mina; Tan, Verily; Watson, Sunnie Lee; Watson, William R. – Journal of Educational Computing Research, 2015
The learner-centered paradigm of instruction differs in such fundamental ways from the teacher-centered paradigm that it requires technology to serve very different functions. In 2006, a research team at Indiana University began to work on identifying those functions and published their results in 2008. Subsequently, the team elaborated and…
Descriptors: Individualized Instruction, Learner Controlled Instruction, Intelligent Tutoring Systems, Interdisciplinary Approach
Scandura, Joseph M. – Online Submission, 2010
According to Wikipedia "Automation is a step beyond mechanism." Whereas mechanization provided human operators with machinery to assist them with the muscular requirements of work, automation greatly reduces the need for human sensory and mental requirements as well. In this context, Artificial Intelligence (AI) was founded on the claim that a…
Descriptors: Learning Theories, Mathematics Skills, Automation, Computer Uses in Education
Johnson, W. Lewis – International Journal of Artificial Intelligence in Education, 2010
The Tactical Language and Culture Training System (TLCTS) helps learners acquire basic communicative skills in foreign languages and cultures. Learners acquire communication skills through a combination of interactive lessons and serious games. Artificial intelligence plays multiple roles in this learning environment: to process the learner's…
Descriptors: Second Language Learning, Educational Games, Intelligent Tutoring Systems, Artificial Intelligence
Chieu, Vu Minh; Luengo, Vanda; Vadcard, Lucile; Tonetti, Jerome – International Journal of Artificial Intelligence in Education, 2010
Cognitive approaches have been used for student modeling in intelligent tutoring systems (ITSs). Many of those systems have tackled fundamental subjects such as mathematics, physics, and computer programming. The change of the student's cognitive behavior over time, however, has not been considered and modeled systematically. Furthermore, the…
Descriptors: Foreign Countries, Medical Students, Surgery, Human Body
Lee, Young-Jin – Journal of Computers in Mathematics and Science Teaching, 2010
With a rapid increase in the number of people who own a handheld device, such as an iPod, education researchers and administrators started looking for a way to use a handheld device to foster student learning. However, the current use of a mobile device in education is quite limited. With few exceptions, it is mostly used as a simple media player…
Descriptors: Physics, Handheld Devices, Electronic Learning, Technology Uses in Education
McQuiggan, Scott W.; Robison, Jennifer L.; Lester, James C. – Educational Technology & Society, 2010
Affect has been the subject of increasing attention in cognitive accounts of learning. Many intelligent tutoring systems now seek to adapt pedagogy to student affective and motivational processes in an effort to increase the effectiveness of tutorial interaction and improve learning outcomes. To this end, recent work has begun to investigate the…
Descriptors: Intelligent Tutoring Systems, Educational Environment, Outcomes of Education, Learning Experience
Sherrell, Linda; Krishna, Bhagavathy; Velaga, Natasha; Vejandla, Pavan; Satharla, Mahesh – Journal of Computers in Mathematics and Science Teaching, 2010
Agile methodologies have become increasingly popular among software developers as evidenced by industrial participation at related conferences. The popularity of agile practices over traditional techniques partly stems from the fact that these practices provide for more customer involvement and better accommodate rapidly changing requirements,…
Descriptors: Computer Software, Methods, Independent Study, Graduate Students
Sanders, David Adrian; Bergasa-Suso, Jorge – IEEE Transactions on Education, 2010
Recent significant advances in automatically predicting user learning styles are described. The system works with new client-based systems that filter Web pages and provide easy, structured, focused, and controlled access to the Internet. A first system called iLessons was embedded within Microsoft Internet Explorer 6 and provided teachers with…
Descriptors: Cognitive Style, Internet, Prediction, Web Sites
Chin, Doris B.; Dohmen, Ilsa M.; Cheng, Britte H.; Oppezzo, Marily A.; Chase, Catherine C.; Schwartz, Daniel L. – Educational Technology Research and Development, 2010
One valuable goal of instructional technologies in K-12 education is to prepare students for future learning. Two classroom studies examined whether Teachable Agents (TA) achieves this goal. TA is an instructional technology that draws on the social metaphor of teaching a computer agent to help students learn. Students teach their agent by…
Descriptors: Concept Mapping, Educational Technology, Elementary School Students, Science Instruction
Chater, Nick – Cognition, 2009
This special issue describes important recent developments in applying reinforcement learning models to capture neural and cognitive function. But reinforcement learning, as a theoretical framework, can apply at two very different levels of description: "mechanistic" and "rational." Reinforcement learning is often viewed in mechanistic terms--as…
Descriptors: Brain, Educational Technology, Reinforcement, Sciences

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